Incivility in public discussions

Psychological reactance (Brehm, 1966; Brehm & Brehm, 1981) has been a long‐standing topic of interest among scholars studying the design and effects of persuasive messages and campaigns. Yet, until recently, reactance was considered to be a motivational state that could not be measured. Dillard and Shen (2005) argued that reactance can be conceptualized as cognition and affect and made amenable to direct measurement. This article revisits Dillard and Shen's (2005) questions about the nature of psychological reactance and reports a test designed to identify the best fitting model of reactance. A meta‐analytic review of reactance research was conducted (K = 20, N = 4,942) and the results were used to test path models representing competing conceptualizations of reactance. The results offer evidence that the intertwined model—in which reactance is modeled as a latent factor with anger and counterarguments serving as indicators—best fit the data.

A meta-analysis of 54 cases testing the effectiveness of inoculation theory at conferring resistance and examining the mechanisms of the theory was conducted. The analyses revealed inoculation messages to be superior to both supportive messages and notreatment controls at conferring resistance. Additionally, the results revealed refutational same and refutational different preemptions to be equally effective at reducing attitude change. However, the data were not consistent with some predictions made in narrative reviews of inoculation. No significant increase in resistance as a function of threat or involvement was found. Further, instead of a curvilinear effect for delay on resistance, the point estimates from our meta-analysis revealed equivalent resistance between immediate and moderate delays between inoculation and attack, with a decay in resistance after two weeks.

This manuscript reports 2 experiments that were conducted to test and extend the work of J. P. Dillard and L. Shen (2005) examining the cognitive and affective processes involved in psychological reactance. In particular, the studies reported here (a) examined the best-fitting model of reactance processes and (b) tested 3 factors that may affect reactance including argument quality, severity of the consequences associated with the message topic, and magnitude of the request made in the message. The results showed that the intertwined cognitive-affective model was the best-fitting model of reactance processes. Magnitude of the request was the only variable that affected reactance. The implications of these findings for research on reactance and persuasive health campaigns are discussed.

This article reports a meta-analysis of 28 studies examining the health-related outcomes associated with participation in a formal computer-mediated support group (CMSG) intervention. In particular, health outcomes related to social support were assessed and four group-level characteristics of CMSGs were tested as potential moderators of intervention effectiveness. The results show that participating in a CMSG intervention-comprised of educational and group communication components-led to increased social support, decreased depression, increased quality of life, and increased self-efficacy to manage one's health condition. Changes in health outcomes were moderated by group size, the nature of the communication channels available, and the duration of the CMSG intervention.